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Software Development · 51 to 200 Employees · New York, US
Hiring: Engineering
What employees say
+ A great place to work with, Everyone are easily approachable, provides room for improvement and good exposure.
− There is none about the organization.
More reviews on the company profile.
Interview experience · Backend Developer
It was average focused on technical abilities more than memorising things. Interviewer was also good nature .Had a great experience This is about Round 1 . More focus was on python fundamentals.
Average difficulty · India · 15 reports
More interview insightsJob description
Overview
Build Strategic Customer Relationships with GoML At GoML, we build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the value of their data, automate intelligently, and create transformative AI-powered experiences.
Qualifications
- Must-Have - 3–6 years of
- experience in customer-facing roles such as Account Management, Customer Success, Business Analysis, Engagement Management, Client Services, Program Management, or Project Management.
- Strong experience collaborating with Sales, Pre-Sales, Delivery, Engineering, Product, and Leadership teams.
- Ability to understand customer business and technical requirements and translate them into clear execution plans.
- Strong communication skills across business, technical, operational, procurement, and executive stakeholders.
- Strong stakeholder management, relationship-building, problem-solving, and conflict-resolution skills.
- Ability to balance customer expectations with delivery capacity, project scope, and internal priorities.
- Strong ownership with the ability to independently drive actions, follow-ups, and outcomes.
- Ability to manage ambiguity, prioritize effectively, and operate in a fast-paced environment.
- Excellent verbal, written, presentation, and documentation skills. Nice-to-Have - Experience in SaaS, technology services, AI, ML, Generative AI, Data Engineering, analytics, cloud, or operations-heavy businesses.
- Familiarity with CRM, customer success, project management, or delivery tracking platforms.
- Exposure to solution scoping, proposals, pricing, commercial discussions, renewals, or contract expansion.
- Familiarity with UAT, technical dependencies, infrastructure readiness, DevOps requirements, and deployment processes.
- Strong business acumen with the ability to navigate both commercial and technical conversations.
- High ownership, decisiveness, and comfort working in rapidly changing environments.
- Ability to structure complex information and communicate it clearly to customers and internal teams.
- Genuine interest in AI, ML, Generative AI, Data Engineering, and enterprise technology solutions.
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Job application FAQ
Last updated 18 September 2026
- How do I apply for AI Engagement Specialist at GoML?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. GoML may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Engagement Specialist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engagement Specialist remote or on-site in Kakinada, Andhra Pradesh?
- This listing is marked remote with location Kakinada, Andhra Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Engagement Specialist role at GoML?
- Key skills for this role include Remote. Upload a resume to see which requirements you already meet and which are gaps.